Senior Product Scientist (Marketing Intelligence)

Headspace is a company dedicated to providing access to lifelong mental health support. They are seeking a Senior Product Scientist to lead the marketing measurement initiatives that inform evidence-based decisions for member acquisition and retention, collaborating with various teams to enhance the experimentation infrastructure and measurement systems.

Responsibilities:

• Craft product requirements & experimentation plans for marketing measurement, partnering with Performance and Lifecycle Marketing, Growth, and Data Science to build a durable, cross-channel incrementality testing capability that moves Headspace beyond last-click attribution
• Design and deliver the experimentation infrastructure required to measure the true causal impact of paid media spend on member acquisition, long-term retention, and sustainable LTV across all marketing channels
• Details and owns the outcome of the roadmap for data architecture and identity resolution foundation required to support reliable, scalable measurement, ensuring consistent signal across channels and reducing measurement bias and contamination
• Author and maintain product specifications that translate complex measurement and experimentation requirements into actionable technical deliverables for engineering and data science partners
• Partner cross-functionally across Marketing, Growth, Engineering, and Data Science to ensure execution aligns with established measurement principles, experimentation standards, and frameworks for evaluating and acting on marketing investment decisions
• Define and monitor the key metrics that connect platform-level measurement capabilities to business-level outcomes, including member acquisition quality, retention impact, and long-term LTV
• Maintain and iterate on a structured learning system that synthesizes incrementality findings across channels and over time, enabling leadership to make confident, evidence-based investment decisions at scale
• Partner with Legal and Privacy teams to ensure all measurement and experimentation infrastructure is designed and operated in full compliance with data privacy and consent requirements

Requirements:

• 3 years of experience in product management, data science, marketing technology, or a related field, with a proven track record of owning and delivering complex, analytically driven products or workstreams
• Strong understanding of marketing measurement concepts including incrementality testing, media mix modeling, multi-touch attribution, and the technical infrastructure required to support cross-channel experimentation at scale
• Demonstrated experience partnering with data science or engineering teams to define requirements, build data pipelines, and ship measurement systems in production environments
• Solid grasp of identity resolution, event logging, and the data architecture considerations required to produce reliable, unbiased measurement across digital marketing channels
• Strong communication and interpersonal skills, with the ability to influence and align stakeholders across marketing, growth, engineering, and legal functions
• Experience working with customer data platforms, clean rooms, or similar data infrastructure used to support privacy-safe measurement and audience segmentation
• Familiarity with causal inference methods and their application to marketing measurement, including holdout group design, geo-based experiments, or synthetic control methods
• Prior experience in digital health, consumer subscription, or direct-to-consumer sectors where member LTV and retention are primary business drivers
• Experience navigating data privacy and consent requirements such as GDPR, CCPA, or ATT in the context of marketing measurement and experimentation
• A passion for mental health, evidence-based decision making, and the mission of Headspace